Item Response Warehouse / Tables / naja_2024_challengesnaja_2024_challenges
1,855 responses from 371 respondents to 5 items.
About this table
Description 5-item binary (0/1) multi-select checklist of perceived COVID-19 work challenges, UAE dieticians Reference Naja F, Hassan H, Radwan H, et al. (2024) Intention to quit and its correlates among dieticians residing in the United Arab Emirates during the COVID-19 pandemic: A cross-sectional survey. PLOS ONE 19(1): e0295904. DOI 10.1371/journal.pone.0295904 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0295904.s001
Size and shape
Responses 1,855 Respondents 371 Items 5 Response categories 2 Responses per respondent 5 Responses per item 371 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) eng, ara
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Perceived challenges during COVID-19 (study-specific multi-select checklist) Mean words per item 2.200 Mean characters per item 18 Mean characters per response 10 Flesch-Kincaid grade level 7.416
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("naja_2024_challenges")
# Python
pip install irw
import irw
df = irw.fetch("naja_2024_challenges")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.